Question

In: Math

Suppose a multiple regression model is given by modifying above y with caretequals0.21x 1minus9.52x 2minus28.56. What...

Suppose a multiple regression model is given by modifying above y with caretequals0.21x 1minus9.52x 2minus28.56. What would an interpretation of the coefficient of x 1 be? Fill in the blank below. An interpretation of the coefficient of x 1 would be, "if x 1 decreases by ?? unit, then the response variable will decrease by nothing units, on average, while holding x 2 constant."

By how many units?

Solutions

Expert Solution

y = 0.21 x1 - 9.52 x2 - 28.56

if x1 decreases by 1 unit, then the response variable will decrease by 0.21 units, on average, while holding x 2 constant                                                                                                                                                                                                                  


Related Solutions

Given the simple regression model Y= βo+ β1X and the regression results that​ follow, test the...
Given the simple regression model Y= βo+ β1X and the regression results that​ follow, test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than zero using probability of Type I error equal to 0.01 , and determine the​ two-sided 90​% and 99​% confidence intervals. a. A random sample of size = 40 with b1 = 55 and sb1 =1.1 b. A random sample of size n = 47 with b1= 5.3 and sb1=...
Given the simple regression model Y= βo+ β1X and the regression results that​ follow, test the...
Given the simple regression model Y= βo+ β1X and the regression results that​ follow, test the null hypothesis that the slope coefficient is 0 versus the alternative hypothesis of greater than zero using probability of Type I error equal to 0.10 , and determine the​ two-sided 95% and 99​% confidence intervals. a. A random sample of size = 36 with b1 = 7 and sb1 =1.7 b. A random sample of size n = 50 with b1= 7.3and sb1= 1.7...
In the multiple regression model Y = β1 + β2 X2 + β3 X3 + u, variable X3 is given by X3 = a+βX2. What is the value of the estimate of β3?
In the multiple regression model Y = β1 + β2 X2 + β3 X3 + u, variable X3 is given by X3 = a+βX2. What is the value of the estimate of β3?O It is b².O It is not defined.O It is b²βs.O It is b.
What is a fitted value for a multiple regression model and the data that is used...
What is a fitted value for a multiple regression model and the data that is used to create it? Select one. -It is the difference between the actual value of the response variable and the corresponding predicted value (regression error) using the multiple regression model. -It is a statistic that explains the relationship between response and predictor variables. -It is a statistic that is used to evaluate the significance of the multiple regression model. -It is the predicted value of...
Discuss the underlying assumptions of a simple linear regression model; multiple regression model; and polynomial regression.
Discuss the underlying assumptions of a simple linear regression model; multiple regression model; and polynomial regression.
1. Distinguish between a bivariate regression model and a multiple regression.
1. Distinguish between a bivariate regression model and a multiple regression.
Given the general MULTIPLE linear regression model with normal error, derive the LSE and MLE for...
Given the general MULTIPLE linear regression model with normal error, derive the LSE and MLE for the regression coefficients and show they are equivalent. I need help on this question. it needs to be for a multiple linear regression model. thank you in advance.
Fit a multiple linear regression model of the form y=β0 + β1 x1 + β2 x2...
Fit a multiple linear regression model of the form y=β0 + β1 x1 + β2 x2 + β3 x3 + ε. Here, ε is the random error term that is assumed to be normally distributed with 0 mean and constant variance. State the estimated regression function. How are the estimates of the three regression coefficients interpreted here? Provide your output, and interpretations in a worksheet titled “Regression Output.” Obtain the residuals and prepare a box-plot of the residuals. What information...
Suppose for a multiple regression on just 5 observations you are given the following portion of...
Suppose for a multiple regression on just 5 observations you are given the following portion of an excel regression output: RESIDUAL OUTPUT Observation Predicted y(hat) Residuals 1 73.61 0.39 2 93.03 -1.03 3 58.97 -0.97 4 85.21 -0.21 5 78.18 1.82 Test the model for autocorrelation at a 10% level of significance. Test the model for heteroskedasticity using a level of significance of 5%
Suppose for a multiple regression on just 5 observations you are given the following portion of...
Suppose for a multiple regression on just 5 observations you are given the following portion of an excel regression output: RESIDUAL OUTPUT observations Predicted y(hat) Residuals 1 73.61 0.39 2 93.03 -1.03 3 58.97 -0.97 4 85.21 -0.21 5 78.18 1.82 Test the model for autocorrelation at a 10% level of significance. Test the model for heteroskedasticity using a level of significance of 5%
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT